Detailed Agri Intelligence System Design
The Problem
- Farmer and land records are hard to verify consistently across systems
- Sensor, satellite, and weather data exist in disconnected pipelines
- AI predictions are often not provable to banks, insurers, or buyers
- Insurance claims and farm credit decisions remain manual and delayed
- Marketplace buyers struggle to trust crop origin and quality declarations
The Solution
- Farm registration flow with Aadhaar/ID, survey verification, and GPS-to-registry validation
- Unified ingestion pipeline across IoT, satellite, and weather sources with normalized schema
- AI engine for crop classification, yield prediction, and anomaly detection with confidence scoring
- Proof Generation Engine stores signed intelligence hashes on blockchain for tamper-evident trust
- Automated insurance and credit flows triggered by validated on-chain proofs
Core Features
AgriSenti End-to-End Operational Flow
Farm Registration with ID + Land Registry + GPS Validation
IoT/Satellite/Weather Ingestion into Normalized Pipeline
AI Inference for Health, Yield, Growth Stage, and Anomalies
Proof Object Hashing and On-Chain Storage
Insurance Claim Trigger for Validated Risk Events
Credit Scoring via Historical Proof and Yield Trends
Marketplace QR Verification for Buyer Trust
Benefits
- Trusted farm intelligence that insurers and lenders can independently verify
- Faster claim processing through machine-detected anomaly validation
- Data-backed lending decisions using historical yield-proof evidence
- Improved buyer confidence through QR-verifiable crop provenance
- Reduced fraud risk with immutable proof trails from source to decision
Ideal Users
- Individual farmers and farmer producer organizations
- Crop insurers and parametric insurance teams
- Banks and agri-lending institutions
- Agri-tech data and advisory providers
- Agri buyers requiring verified origin and quality